• Journal of The Korean Association For Science Education
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• v.37 no.1
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• pp.181-192
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• 2017

This study aims to examine the educational effects of the SSI program using Digital Storytelling (DST) approaches. Since DST provides students opportunities to express their own opinions in the form of stories and to share learning outcomes through the web, we developed and implemented SSI program by adopting the concept of DST in order to produce synergistic effects on student learning. Twenty-four 9th graders who enthusiastically engaged in the DST-based SSI program participated in this study. The students responded to focus group interviews after the instruction, and all interviews were transcribed for analysis. The results indicated that the students became aware of socio-ethical perspectives of each SSI topic while searching and collecting data by themselves. They also felt the necessity to consider multiple perspectives around the issues by having discussions with group members. Second, pre-producing DST allowed students to negotiate to settle on a group discussion, and to use emotional contents that can lead viewers to have sympathy. In addition, while producing DST, students considered various factors such as design, soundtrack, visual effects, and screen composition in order to express their opinions and convey their messages more effectively. In the stage of sharing DST outcomes and receiving feedback, they realized new perspectives that they did not perceive in the previous production process, and to move them into an action for resolving the problems caused by SSI. This study showed the potentials of DST-based SSI instruction as a good strategy to support students' SSI engagement.

• Journal of the Korea Convergence Society
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• v.8 no.12
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• pp.39-47
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• 2017

The Internet have increased the number of digital web documents related to the history and traditions of Korean Culture. However, users who search for creators or materials related to traditional cultures are not able to get the information they want and the results are not enough. Document classification is required to access this effective information. In the past, document classification has been difficult to manually and manually classify documents, but it has recently been difficult to spend a lot of time and money. Therefore, this paper develops an automatic text classification model of traditional cultural contents based on the data of the Korean information culture field composed of systematic classifications of traditional cultural contents. This study applied TF-IDF model, Bag-of-Words model, and TF-IDF/Bag-of-Words combined model to extract word frequencies for 'Korea Traditional Culture' data. And we developed the automatic text classification model of traditional cultural contents using Support Vector Machine classification algorithm.

• Journal of the Korean Society for information Management
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• v.23 no.1 s.59
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• pp.121-138
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• 2006

This study attempts to derive an economic analysis model for journal evaluation and conducts a case analysis based on the model. Total costs are calculated and include administrative fees (such as binding, ordering, claiming, etc.) and subscription costs. The model quantifies qualitative benefits to users, a utility that combines usage data that has also been evaluated in the existing economic analysis models. The model is designed by the usage statistics of the web-based electronic journals, which have become important resources for research. Rankings are assigned based on how items are utilized to the goal of the mother institution. In the case study based on the KDI School Library, the highest ranking off was assigned to journals that patrons used for citation in their outputs. For journals that were used background information, i.e., full text downloading or browsing , each was assigned ranking of 2 and 1, respectively. According to the analysis, the top 20 journals provided 75% of the entire library utility, showing different user behaviors among different cohorts. We expect that the model makes it possible for librarians to measure the value of journals. It can provide a basic tool for journal selection, particularly in special libraries with custom needs.

• Proceedings of the Korea Water Resources Association Conference
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• 2006.05a
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• pp.1116-1120
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• 2006

하천주변 저지대에 주택이나 공장 등의 시설물 집중과 산지의 개발 및 인구 집중으로 인한 도시화 지역의 증가로 홍수 피해는 더욱 커지고 있다. 특히, 상습침수지구의 주민들은 항상 재해로부터 위험을 느끼고 있으므로 새로운 재해관리체계를 구축하여 이에 대한 확고한 대책이 필요하다. 최근 인터넷 사용의 증가로 많은 사용자들이 웹을 통해 다양한 데이터를 공유하고 있으며, 이러한 추세는 더욱 더 증가할 것이다. 인터넷은 다양한 정보를 네트워크를 통해 사용자에게 실시간으로 제공하고 있으며, 통신기술의 발전, 네트워크 통합화 속에서 그 내용과 방식이 더욱 다양해지고 있다. GIS분야에 있어서도 인터넷 네트워크를 이용하여 분산되어 있는 많은 조직이나 사용자들에게 그 기능과 서비스를 제공하는 추세로 바뀌고 있다. Internet GIS는 원격 지리정보 데이타에 대한 접근, 전송, 분석 및 GIS를 표현하는 수단으로 인터넷을 이용하는 특별한 GIS 도구이다. Internet GIS는 전통적인 GIS 소프트웨어가 가지고 있는 대부분의 기능은 물론 인터넷 및 그와 관련된 WWW 및 FTP 프로토콜의 장점을 가지는 부가적인 기능들을 포함할 수 있다. 이들 부가적인 기능은 원격 데이타 및 응용 프로그램의 교환, 지역 컴퓨터에 GIS 응용 프로그램 없이 GIS 분석 기능을 수행, 인터넷상에서 상호작용하는 지도 및 데이타를 표현하는 기능들을 포함한다. Internet GIS는 객체지향적이고 상호운영적이며, 분산적이라는 주요한 특징을 갖는다. 인터넷에서 각각의 GIS 데이타 및 기능성은 하나의 객체로서 서로 다른 서버에 위치하며 필요시 조합 또는 통합되어 운영된다. Internet GIS를 이용한 상습침수지구 지역정보 제공사이트를 구축하기 위해서는 인터넷으로 서비스 할 수 있는 인터넷용 상습침수지구 GIS기본도를 구축이 필요하다. 인터넷 서비스를 위한 상습침수지구 기본도는 또 다른 형태의 주제도라고 볼 수 있으며, 이를 구축하기 위해서는 자료변환 및 가공이 필요하다. 즉, 각 상습침수지구에 필요한 지형도는 국립지리원에서 제작된 1:5,000 수치지형도가 있으나 이는 자료가 방대하고 상습침수지구에 필요하지 않은 자료들을 많이 포함하고 있으므로 상습침수지구의 데이터를 인터넷을 통해 서비스하기 위해서는 많은 불필요한 레이어의 삭제, 서비스 속도를 고려한 데이터의 일반화작업, 지도의 축소.확대 등 자료제공 방식에 따른 작업 그리고 가시성을 고려한 심볼 및 색채 디자인 등의 작업이 수반되어야 하며, 이들을 고려한 인터넷용 GIS기본도를 신규 제작한다. 상습침수지구와 관련된 각종 GIS데이타와 각 기관이 보유하고 있는 공공정보 가운데 공간정보와 연계되어야 하는 자료를 인터넷 GIS를 이용하여 효율적으로 관리하기 위해서는 단계별 구축전략이 필요하다. 따라서 본 논문에서는 인터넷 GIS를 이용하여 상습침수구역관련 정보를 검색, 처리 및 분석할 수 있는 상습침수 구역 종합정보화 시스템을 구축토록 하였다.

• Journal of KIISE
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• v.41 no.10
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• pp.762-773
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• 2014

As the web of data is increasingly producing large RDFS datasets, it becomes essential in building scalable reasoning engines over large triples. There have been many researches used expensive distributed framework, such as Hadoop, to reason over large RDFS triples. However, in many cases we are required to handle millions of triples. In such cases, it is not necessary to deploy expensive distributed systems because logic program based reasoners in a single machine can produce similar reasoning performances with that of distributed reasoner using Hadoop. In this paper, we propose a scalable RDFS reasoner using logical programming methods in a single machine and compare our empirical results with that of distributed systems. We show that our logic programming based reasoner using a single machine performs as similar as expensive distributed reasoner does up to 200 million RDFS triples. In addition, we designed a meta data structure by decomposing the ontology triples into separate sectors. Instead of loading all the triples into a single model, we selected an appropriate subset of the triples for each ontology reasoning rule. Unification makes it easy to handle conjunctive queries for RDFS schema reasoning, therefore, we have designed and implemented RDFS axioms using logic programming unifications and efficient conjunctive query handling mechanisms. The throughputs of our approach reached to 166K Triples/sec over LUBM1500 with 200 million triples. It is comparable to that of WebPIE, distributed reasoner using Hadoop and Map Reduce, which performs 185K Triples/sec. We show that it is unnecessary to use the distributed system up to 200 million triples and the performance of logic programming based reasoner in a single machine becomes comparable with that of expensive distributed reasoner which employs Hadoop framework.

• Journal of Intelligence and Information Systems
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• v.17 no.1
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• pp.17-35
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• 2011

The collective intelligence is a common-based production by the collaboration and competition of many peer individuals. In other words, it is the aggregation of individual intelligence to lead the wisdom of crowd. Recently, the utilization of the collective intelligence has become one of the emerging research areas, since it has been adopted as an important principle of web 2.0 to aim openness, sharing and participation. This paper introduces an approach to seek the collective intelligence by cognition of the relation and interaction among individual participants. It describes a methodology well-suited to evaluate individual intelligence in information retrieval and classification as an application field. The research investigates how to derive and represent such cognitive intelligence from individuals through the application of fuzzy relational theory to personal construct theory and knowledge grid technique. Crucial to this research is to implement formally and process interpretatively the cognitive knowledge of participants who makes the mutual relation and social interaction. What is needed is a technique to analyze cognitive intelligence structure in the form of Hasse diagram, which is an instantiation of this perceptive intelligence of human beings. The search for the collective intelligence requires a theory of similarity to deal with underlying problems; clustering of social subgroups of individuals through identification of individual intelligence and commonality among intelligence and then elicitation of collective intelligence to aggregate the congruence or sharing of all the participants of the entire group. Unlike standard approaches to similarity based on statistical techniques, the method presented employs a theory of fuzzy relational products with the related computational procedures to cover issues of similarity and dissimilarity.

• The KIPS Transactions:PartB
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• v.19B no.3
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• pp.165-176
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• 2012

In recent years, due to rapidly increasing user-created internet contents coupled with the development of community-based websites, the internet resource recommendation systems are attracting attentions of the users. However, most of the systems have failed in properly reflecting users' characteristics and thus they have difficulty in recommending appropriate resources to users. In this paper, we propose an internet resource recommendation method using FOAF and SNA which fully reflects the characteristics of users. In our method, 1) we extract the data about user characteristics and tags using FOAF; 2) we generate graphs representing users, user characteristics and tags after inserting data into 3 matrixes and integrating them; 3) we recommend the appropriate internet resources after selecting common characteristics of the recommended items and Hot tags by analyzing social network. For verification of our proposed method, we implemented our method to establish and analyze an experimental social group. We verified through our experiments that the more users added in the social network, the higher quality of recommendation result we got than the item-based recommendation method. By using the suggested idea in this paper, we can make a more appropriate recommendation of resources to users while effectively retrieving explosively increasing internet resources.

• Korean Journal of Remote Sensing
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• v.27 no.2
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• pp.203-211
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• 2011

Recently, information communication technologies such as smartphone or mobile app greatly affect various application fields including geo-spatial domain. And development scheme of mobile web app or hybrid app regards as the most important computing technology which is combined each advantage of mobile app and mobile web. Despite these trends, it is general case that satellite images are used for the background image for other contents services. With this motivation, hybrid app for geo-metadata as the base for dissemination and service is designed and implemented as the prototype, in this study. At the design stage, HTML5, which is the core technology on an international standardization process for hybrid app, is applied. In the implementation, PhoneGap and Sencha Touch as mobile SDK(Software Development Kit) supporting HTML5 on cross-platform in open sources are used. In prototype, some KOMPSAT-2 images covering small area and mandatory elements in geo-metafata standard are tested. As mobile industry applications and business service models based on satellite images on mobile platform are progressing and diversifying, it is expected that this approach and implemented prototype are considered as an important reference.

• Korean Journal of Remote Sensing
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• v.36 no.3
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• pp.475-486
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• 2020

Climate change scenarios are the basis of research to cope with climate change, and consist of large-scale spatio-temporal data. From the data point of view, one scenario has a large capacity of about 83 gigabytes or more, and the data format is semi-structured, making it difficult to utilize the data through means such as search, extraction, archiving and analysis. In this study, a tool for analyzing extreme climate events based on spatial information is developed to improve the usability of large-scale, multi-period climate change scenarios. In addition, a pilot analysis is conducted on the time and space in which the heavy rain thresholds that occurred in the past can occur in the future, by applying the developed tool to the RCP8.5 climate change scenario. As a result, the days with a cumulative rainfall of more than 587.6 mm over three days would account for about 76 days in the 2080s, and localized heavy rains would occur. The developed analysis tool was designed to facilitate the entire process from the initial setting through to deriving analysis results on a single platform, and enabled the results of the analysis to be implemented in various formats without using specific commercial software: web document format (HTML), image (PNG), climate change scenario (ESR), statistics (XLS). Therefore, the utilization of this analysis tool is considered to be useful for determining future prospects for climate change or vulnerability assessment, etc., and it is expected to be used to develop an analysis tool for climate change scenarios based on climate change reports to be presented in the future.

• Journal of Internet Computing and Services
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• v.6 no.4
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• pp.125-139
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• 2005

Mobile e-business is in wide use with the rapid growth of wireless internet users. To meet the growing requests for mobile e-business the productivity of mobile applications has been demanded. The WAPSiteGen, introduced in this paper, automatically generates a 3-tier WAP application that needs a new application database or that already has an application database to increase the productivity. The WAPSiteGen generates the EJB components that handle business logic and the JSP Web components that process user-made queries and the WAP Push feature. For a presentation layer, it also generates the HTML forms for an application manager and the WML decks for end users, which consists of many cards. The WAPSiteGen enhances extendibility, reusability and portability of generated 3-tier applications by comprising such component technologies as EJB and JSP. Furthermore, it supports the WAP Push services for generated applications that provide necessary information to wherever and at whenever a user wants. Since the applications generated by the WAPSiteGen provide the information on an interested entity as well as the information on all the directly or indirectly related entities to the interested one, it shows faster information accessibility. In this paper, we explain the functionality and implementation of the WAPSiteGen and then show its merits by comparing the WAPSiteGen to commercial WAP application generators.